Experiment results show that the proposed method is effectiveness for illumination pattern based images under bias field and of higher accuracy rates than traditional FCM and thresholding.
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实验结果表明,基于有偏场的模糊聚类算法能有效分割光栅图像,其分割精度优于传统模糊聚类和阈值法。
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